Publicaciones en revistas, libros y capítulos de libro
- M. Vega, J. Mateos, R. Molina, and A.K.. Katsaggelos, “Super Resolution of Multispectral Images using TV image models”, Lectures Notes in Artificial Intelligence, Springer Berlin / Heidelberg, vol. LNAI-5179, Part III, 408-415, September 2008. [
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- S. Villena, M. Vega, R. Molina, and A. K. Katsaggelos , “Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images”, Lectures Notes in Computer Science, Springer Berlin / Heidelberg, vol. LNCS-5807/2009, 188-199. [
(316 KB.)]
- M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super-resolution of multispectral images”, The Computer Journal, doi:10.1093/comjnl/bxn031, vol. 52(1), 153-167, 2009. [
(567 KB.)]
- R. Molina, and A.K. Katsaggelos, (eds.) “Super-resolution”, The Computer Journal, vol. 52(1), 2009.
- I. Amro, and J. Mateos, “Multispectral image pansharpening based on the contourlet transform”, Journal of Physics: Conference Series, vol. 206, 012031, DOI:10.1088/1742-6596/206/1/012031, Paris (France), July 2009. [BibTeX entry][Abstract][
(194 KB.)]
- I. Amro, and J. Mateos, “Multispectral image pansharpening based on the contourlet transform”, in Information Optics and Photonics: Algorithms, Systems, and Applications, T. Fournel, and B. Javidi (ed.), ch. 20, 247-262, Springer , November 2010. [
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- M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super Resolution of Multispectral Images using l1 Image Models and interband correlations”, Journal of Signal Processing Systems. Published online at http://www.springerlink.com/content/nt412p75831n0661/, vol. 65, no. 3, 509-523, November 2011.[
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- M. Vega, J. Mateos, R. Molina, and A. Katsaggelos, “Astronomical Image Restoration Using Variational Methods and Model Combination”, Statistical Methodology, vol. 9, no. 1-2, 19-31, January 2012. [
(1343 KB.)]
- I. Amro, and J. Mateos, “Multispectral Image fusion Using Multiscale and Super-resolution Methods”, VDM Verlag, July 2011. https://www.morebooks.de/store/gb/book/multispectral-image-fusion/isbn/978-3-639-36176-6
- I. Amro, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “A survey of classical methods and new trends in pansharpening of multispectral images”, EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 79, September 2011. [
(5812 KB.)]
- V.F. Rodríguez-Galiano, E. Pardo-Igúzquiza, M. Chica-Olmo, J. Mateos , J.P. Rigol-Sánchez, and M. Vega, “A comparative assessment of different methods for Landsat 7 ETM+ pansharpening”, International Journal of Remote Sensing, vol. 33, no. 20, 6574-6599, October 2012. [
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- P. Ruiz, J. Mateos, R. Molina, and A.K. Katsaggelos, “A Bayesian Active Learning Framework for a Two-Class Classification Problem”, Lectures notes in Computer Science, vol. LNCS-7252, 42-53, Pisa (Italy), 2012. [BibTeX entry][Abstract][
(289 KB.)]
Publicaciones en congresos
- J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Pansharpening of multispectral images using a TV-based super-resolution algorithm” in 7th International Workshop on Information Optics (WIO-08), Journal of Physics: Conference Series, vol. 139, 012022, Annecy (France), June 2008. [
(253 KB.)]
- M. Vega, J. Mateos, R. Molina, and A.K.. Katsaggelos, “Super Resolution of Multispectral Images using TV image models” in 2th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, edited by I. Lovrek and R.J. Howlett and L.C. Jain, vol. LNAI-5179, Part III, 408-415, Zagreb, Croatia, September 2008. [
(763 KB.)]
- I. Amro, and J. Mateos, “Multispectral image pansharpening based on the contourlet transform” in 8th International Workshop on Information Optics (WIO' 09) - Journal of Physics: Conference Series, vol. 206, 012031, DOI:10.1088/1742-6596/206/1/012031, Paris (France), July 2009. [
(194 KB.)]
- M. Vega, R. Molina, and A.K. Katsaggelos, “L1 Prior Majorization In Bayesian Image Restoration” in 16th International Conference on Digital Signal Processing (DSP 2009), edited by IEEE, 1-6, Santorini (Greece), July 2009. [
(389 KB.)]
- M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super Resolution of Multispectral Images using l1 Image Models and interband correlations” in 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, Grenoble (France), September 2009. [
(757 KB.)]
- J. Mateos, T.E. Bishop, R. Molina, and A.K. Katsaggelos, “Local Bayesian Image Restoration Using Variational Methods and Gamma-Normal Distributions” in IEEE Innternational Conference on Image Processing (2009), 129-132, Cairo (Egypt), November 2009. [
(191 KB.)]
- S. Villena, M. Vega, R. Molina, and A. K. Katsaggelos , “Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images” in 11th International Conference, ACIVS 2009, edited by Springer Berlin / Heidelberg, vol. 5807/2009, 188-199, Bordeaux (France), October 2009. [
(316 KB.)]
- I. Amro, J. Mateos, and M. Vega, “General Contourlet Pansharpening Method using Bayesian Inference” in 2010 European Signal Processing Conference (EUSIPCO-2010), 294-298, Aalborg (Denmark), August 2010. [
(628 KB.)]
- I. Amro, J. Mateos, and M. Vega, “Bayesian super-resolution pansharpening using contourlets” in International Conference on Image Processing 2010 - Finalist of the Huawei Best Student Paper Award , 809-812, Honk Kong (China), September 2010. [
(161 KB.)]
- R. Molina, “From Image Restoration to Compressive Sampling in Computational Photography. A Bayesian Perspective” in Machine Learning meets Computational Photography, NIPS Workshop http://videolectures.net/nipsworkshops2011_molina_restoration/, 2011. [
(2677 KB.)]
- I. Amro, J. Mateos, and M. Vega, “Parameter estimation in Bayesian super-resolution pansharpening using contourlets” in IEEE International Conference on Image Processing ICIP 2011, 1345-1348, Brussels (Belgium), September 2011. [
(615 KB.)]
- I. Amro, J. Mateos, and M. Vega, “Parameter Estimation in the General Contourlet Pansharpening Method using Bayesian Inference” in 2011 European Signal Processing Conference (EUSIPCO 2011), 1130-1134, Barcelona (Spain), September 2011. [
(747 KB.)]
- P. Ruiz, J. Mateos, R. Molina, and A.K. Katsaggelos, “A Bayesian Active Learning Framework for a Two-Class Classification Problem” in MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, edited by Emanuele Salerno, A. Enis Çetin and Ovidio Salvetti, vol. LNCS-7252, 42-53, Pisa (Italy), 2012. [
(289 KB.)]
Tesis doctorales
- M. Tallón, Fusión bayesiana de pares de imágenes con diferente exposición, Universidad de Granada, November 2012. Supervised by: R. Molina and J. Mateos.[
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- I. Amro, Multispectral Image fusion Using Multiscale and Super-resolution Methods, Universidad de Granada, February 2011. Supervised by: J. Mateos.
- S. Villena, Superresolucion y reconstrucción Bayesian de imágenes a partir de imágenes de baja resolución rotadas y desplazadas. Combinación de modelos, Universidad de Granada, December 2011. Supervised by: M. Vega, R. Molina and A. Katsaggelos. [
(9583 KB.)]
- S. Derin Babacan, Bayesian Techniques for Image Recovery, Northwestern University, Evanston, Illinois, October 2009. Supervised by: A.K. Katsaggelos and R. Molina.